Mid-Senior Data Engineer (Azure)

About Wemetrix At Wemetrix, we’re reshaping how enterprises manage credit risk, financial operations and up-sell opportunities through our flagship platform, VALUEBOARD®. We combine deep domain expertise with state-of-the-art technology to help finance leaders make smarter, faster decisions. As a tech-first company, we value clarity, ownership, and trust, and we’re building a culture where engineers are empowered to deliver impactful work, grow in their craft, and feel proud of what they ship. Join us as we scale our platform, our cloud services, and our team. About the Role Our company is seeking a skilled Data Engineer to join our team and contribute to the implementation and maintenance of modern and efficient data management solutions on the Azure platform. The ideal candidate will be responsible for managing data flows, integrating Azure services such as Azure Data Factory, Data Lake, and Event Hubs, and developing efficient data loading and transformation processes using SQL. This role requires knowledge of Azure data services. We welcome both experienced professionals in Azure implementation and candidates with limited hands-on experience who are motivated to deepen their Azure expertise with our support in a dynamic and collaborative environment. What You’ll Do Build and maintain robust data pipelines using Azure Data Factory (ADF). Work with Azure Data Lake, Delta Lake, and Parquet to efficiently store and process large-scale structured and semi-structured data. Maintain event-driven architectures with Azure Event Grid and Event Hubs. Implement scalable ETL/ELT workflows using SQL and other modern tools. Collaborate cross-functionally to ensure seamless integration of data flows into business processes. Monitor, optimize and improve performance and data quality across all pipelines. Maintain clear, up-to-date documentation for data processes and flows. Ensure best practices around data security, governance, and compliance. What We’re Looking For Solid experience with Azure Data Factory (ADF). Hands-on knowledge of Azure Data Lake, Delta Lake, and Parquet. Strong SQL skills for data querying and transformations. Experience with Azure Event Grid, Event Hubs and serverless workflows (Azure Functions). Familiarity with PostgreSQL and relational databases. Exposure to Spark for distributed data processing. Ability to write clean, maintainable and efficient code. Strong problem-solving mindset and a team-oriented attitude. Nice-to-Have Skills Experience with Docker and containerization. Knowledge of Azure Kubernetes Service (AKS). Awareness of cloud security best practices in data management. What We Offer Competitive salary and annual bonus scheme. Private health insurance for you and your family. Professional development support (certifications, trainings, mentoring). Dedicated learning time and budget. A collaborative team that cares about craftsmanship, clarity, and delivery.